Dataset Versions
Versions
v1
2024-11-23 12:07am
Generated on Nov 22, 2024
403 Total Images
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Dataset Split
Train Set 89%
357Images
Valid Set 7%
30Images
Test Set 4%
16Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 0.6px
Noise: Up to 0.22% of pixels